Noise and vibration exposure on the physiological parameters of bus drivers using machine learning algorithm-Reference-Cited by-同舟云学术

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Noise and vibration exposure on the physiological parameters of bus drivers using machine learning algorithm

Published:2022-06-22 Issue: Volume: Page:
ISSN:
Container-title:2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)
language:
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Author:

Tiwari S.K.¹,Al-Dmour A.²,Kumaraswamidhas L.A.¹,Kushwaha P.¹,Khan S.³,Kamal M.⁴

Affiliation:

1. IIT(ISM), Dhanbad,Mechanical Department,Dhanbad,India

2. University Bahrain,College of Arts and Science Applied Science

3. Engineering Design and communication Bahrain Polytechnic Isa Town,Bahrain

4. Electronic University, Dammam,Basic Sciences Department,Kingdom of Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888141/9888798/09888842.pdf?arnumber=9888842

Reference21 articles.

1. Analysis of hand-arm vibration syndrome in drummers

2. Effects of whole-body vibration on driver drowsiness: A review

3. Whole body vibration exposures in bus drivers: A comparison between a high-floor coach and a low-floor city bus

4. Whole body vibration exposures in metropolitan bus drivers: A comparison of three seats

5. Case studies in whole-body vibration assessment in the transportation industry–Challenges in the field

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1. Accuracy of Temporal Sampling Strategies for the Estimation of the Annual Average Equivalent Noise Levels in Urban Scenario;MAPAN;2023-03-07

2. A hybrid deep leaning model for prediction and parametric sensitivity analysis of noise annoyance;Environmental Science and Pollution Research;2023-02-13

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